Learn how to transform natural language text into numerical sequences through a comprehensive tutorial video on KERAS preprocessing layers. Master the implementation of text vectorization layers to build Keras-native input processing pipelines for AI applications. Explore fundamental options for managing text in Keras models, including converting string batches into token indices or dense representations. Discover practical techniques for handling natural language inputs using KERAS preprocessing layer API, with hands-on examples demonstrated through Google Colab notebooks. Drawing from official KERAS documentation and examples, gain essential knowledge for text classification and preprocessing tasks in artificial intelligence applications.